US 20080151821 A1 Abstract Multi-hop wireless networks have benefits in coverage extension and throughput improvement. In this multi-hop wireless networks, multiple channels are available to improve system performance through concurrent transmission. In this invention, a multi-channel assignment method is described. For efficient utilization of multiple channels considering different channel condition at each node, the multi-channel assignment method is comprising the steps of: a) gathering neighbor relay node information by relaying control messages which include node information, such as the list of neighbor nodes, the preferable channel list of nodes, and the number of available radio interfaces; b) connectivity graph construction, by generating the multi-graph connectivity graph from the gathered node information; c) conflict graph composition, by generating the multi-channel conflict graph which exhibits interference among links from the multi-graph connectivity graph; and d) multi-channel assignment, by allocating channels to links considering channel interference by referring the multi-channel conflict graph using the list coloring algorithm.
Claims(17) 1. A channel assignment method for a wireless network comprising:
a) receiving or collecting node information including available channel information of individual nodes in a wireless network; b) calculating a multi-connection relationship of connection links among the individual nodes using the collected node information; c) calculating a channel conflict relationship caused by interference of the connection links among the individual nodes according to the calculated multi-connection relationship; d) assigning a channel to the connection links among the individual nodes by referring to the calculated channel conflict relationship; and e) transmitting the channel assigned to each link to the individual nodes. 2. The method according to receiving or collecting the node information by relaying data among the nodes. 3. The method according to generating a multi-graph equipped with multiple receivers capable of performing multiple transmission/reception among the nodes. 4. The method according to c1) calculating all links, each of which includes interference for each node; and c2) generating a multi-channel conflict graph for a connection of the individual nodes by referring to the calculated links. 5. The method according to determining all the links sharing the nodes to be links, each of which causes the interference to a corresponding link. 6. The method according to determining a specific link as an interfering link when it satisfying one of following conditions: c1) if link e′ shares a node with link e, e′ is a node sharing interfering link; or c2) if any node of link e′ can hear the transmission from link e, e′ is an overhearing interfering link. 7. The method according to d1) determining a preferable channel from among the available channels for each node, and extracting the preferable channel list from the available channels for each node; d2) extracting a specific node capable of adapting each of all the channels as a common preferable channel, and generating a sub-graph including only a node extracted from the multi-channel conflict graph; d3) assigning priority for each sub-graph; and d4) assigning a channel to the individual nodes contained in the sub-graph according to the assigned priority, deleting the channel-assigned node from other sub-graphs, and assigning the channel to connection links among the nodes. 8. The method according to 9. The method according to indicating the same connection links on the sub-graph, selecting a node having more connection links from among the multi-channel conflict graph when two nodes are connected to each other, and assigning the channel to the selected node. 10. A multi-hop wireless network system comprising:
one or more nodes, each of which includes available channel information equipped with preferable channel information, and provides corresponding channel information in the case of a channel assignment setup; and a central node including a channel assignment module, which is connected to an external network line including the Internet, forms a network along with a sub-router, and receives or collects channel information from the sub-router, thereby performing channel assignment. 11. The system according to a channel information collector for receiving or collecting available channel information including preferable channel information from the node; a multi-graph generator for calculating a multi-connection link among the individual nodes using the collected available channel information received from the channel information collector, and generating a multi-graph using the calculated connection link; a multi-channel conflict graph generator for calculating a channel conflict relationship caused by interference of the connection link among the individual nodes on the basis of the multi-graph received from the multi-graph generator, and generating a multi-channel conflict graph; and a channel assignment unit for assigning a channel to the connection link among the individual nodes by referring to the multi-channel conflict graph generated by the multi-graph conflict graph generator. 12. The system according to 13. The system according to 14. The system according to 15. The system according to a preferable channel extractor for determining a preferable channel from among the available channels for each node, and extracting the preferable channel from the available channels for each node; a sub-graph generator for extracting a specific node capable of adapting the extracted preferable channel as a common preferable channel, and generating a sub-graph including only the node extracted from the multi-channel conflict graph; a channel assignment processor for assigning priority for each sub-graph; assigning a channel to the individual nodes contained in the sub-graph according to the assigned priority, deleting the channel-assigned node from other sub-graphs, and assigning the channel to the connection link among the nodes. 16. The system according to 17. The system according to Description 1. Field of the Invention The present invention relates to a multi-channel assignment method in multi-hop wireless networks for the nodes with multiple wireless transceivers to utilize multiple non-orthogonal channels, and a more particularly to a dynamic multi-channel assignment method in multi-hop wireless networks, such as wireless mesh networks and wireless ad-hoc networks, for the relay nodes to improve the system throughput by concurrent transmission with multiple non-orthogonal channels. 2. Description of the Related Art A Multi-hop wireless network has received interest, in the research of extending the reach of last-mile access to the Internet, using multi-hop configuration. The typical examples of multi-hop wireless networks are wireless mesh networks and wireless ad-hoc networks. This multi-hop wireless network consists of wireless relay nodes and subscribed nodes. A wireless relay node relays packets like a router in a fixed network through wireless channels. Some relay nodes are connected to the Internet and all subscribed nodes can access the Internet through multi-hop relaying. Considering that the main cost of wired networks is the deployment and maintenance of physical wires, multi-hop wireless networks are beneficial for swift deployment, low installation costs, and higher flexibility. Typical examples of multi-hop wireless networks can be found in standardization activities. The WLAN (IEEE 802.11) and WIMAX (IEEE 802.16) technologies tackle wireless mesh networks. In IEEE 802.11, ESS (Extended Service Set) Mesh Networking (IEEE 802.11s) TG (Task Group) considers layer-2 mesh path selection and data forwarding for Mesh AP (Access Point)s. Mesh APs create a wireless backhaul network and provide Internet access service for the served nodes. Also, the WiMax standard and Multi-hop Relay (IEEE 802.16a/j) TG deal with multi-hop transmission to expand the coverage and improve the system throughput. In this multi-hop wireless network, non-overlapping channels can be used to improve the system performance via simultaneous transmission within a neighborhood. For example, 3 and 12 non-overlapping channels are available in the IEEE 802.11b/g and 802.11a standard, respectively. Also, multiple radio interfaces are feasible in a single relay node since the prices of RF transceivers have gone down. For example, some products equipped with multiple radios have been commercially merchandized. In this multi-radio multi-channel wireless network, the channel allocation method affects system performance. Multiple channels should be allocated to minimize interference among channels. Channel interference in multi-hop configuration has three factors. First, each node experiences different channel interference. Due to the fading effect of wireless channels, each node has different channel quality, according to its location and environment. Therefore, each node can prefer different channels by its noise level. Second, neighboring paths that use the same channel interfere with each other. When two paths use the same channel within an interference range, two flows cannot be transmitted simultaneously. This interference is the inter-flow interference. Third, there exists interference among adjacent hops on the same path. If consecutive links of path within the interfering range are allocated with the same channel, packets that belong to a flow cannot be transmitted simultaneously on consecutive links. This is the intra-flow interference. To maximize network throughput, the above channel interference should be considered in a multi-channel assignment problem. Therefore, the present invention has been made in view of the above problems, and it is an object of the invention to provide a dynamic multi-channel assignment method for acquiring throughput improvement via concurrent transmission in a multi-hop wireless network. In accordance with one aspect of the present invention, these objects are accomplished by providing a dynamic channel assignment method to utilize multiple non-overlapping channels with multiple radio interfaces considering different channel condition at each node for acquiring maximized multiple channel utilization in multi-hop wireless networks comprising the steps of: a) gathering neighbor relay node information to the central nodes, by relaying control messages which include node information, such as the list of neighbor nodes, the preferable channel list of nodes, and the number of available radio interfaces; b) connectivity graph construction, by generating the multi-graph connectivity graph from the gathered node information; c) conflict graph composition, by generating the multi-channel conflict graph which exhibits interference among links from the multi-graph connectivity graph; and d) multi-channel assigning, by allocating channels to the links considering channel interference by referring the multi-channel conflict graph; which consists of e) preferable channel extractions; f) a multiple channel allocation process; and g) distribution, by transmitting the assigned channel result to the relay nodes. Preferably, a relay node measures the RSS (Received Signal Strength). From the RSS measurement, a node can obtain the background noise strength of each channel. And each node exchanges control messages which include node information, such as neighbor information, channel lists and channel assignment results. This preferable channel lists are collected by a central node (here, the central node would be the node with the Internet connection) From the collected channel lists and network topology, a central node assigns channels to each link and broadcasts the channel assignment results. Preferably, from gathered relay node information, a multi-graph connectivity graph is constructed A multi-graph is a graph which can have multiple edges between two nodes, as opposed to a simple graph with only one edge between two nodes. We model the multi-hop wireless network after an undirected multi-graph, G={V, E}. A vertex and edge are a node and link in a multi-hop wireless network, respectively. If both nodes assign an available radio to their neighbor nodes, then an edge is created. Therefore, the number of assigned radios to neighbor node determines the number of edges. Here, the radio assignment problem should be resolved. To make channel allocation fair and to ensure connectivity, the max-min allocation method is used. Given the number of radios, Q, and the number of neighbor nodes, N, if Q<N, then select Q neighbor nodes from N nodes and assign Q radios to the selected neighbor nodes. If Q≧N, then N radios are allocated to all nodes and the Q−N radios are allocated to nodes that repetitively have available radios. Preferably, from the multi-graph connectivity graph, a multi-channel conflict graph G′{V′, E′} can be generated to express the interfering relationship among links. In a multi-channel conflict graph, a vertex corresponds to an edge in the multi-graph connectivity graph. And an edge exists between interfering links in the multi-graph connectivity graph. An interfering link is defined as follows: If edge e′ shares a node with edge e, e′ is a node sharing interfering edge; or if any node of edge e′ can hear the transmission from edge e, e′ is an overhearing interfering edge. Preferably, by applying the list coloring algorithm to the multi-channel conflict graph, non-overlapping channel allocation results can be obtained. To allocate multiple channels not to conflict, the list coloring algorithm is used. The present invention proposes a new sub-graph list coloring algorithm, named a sub-graph list coloring algorithm, to reduce the number of overlapped colors. Preferably, a dynamic channel assignment method to utilize multiple non-overlapping channels with multiple radio interfaces considering different channel condition at each node for acquiring maximized multiple channel utilization in multi-hop wireless networks comprises the steps of: S The above objects, and other features and advantages of the present invention will become more apparent after reading the following detailed description when taken in conjunction with the drawings, in which: Now, preferred embodiments of the present invention will be described in detail with reference to the annexed drawings. In the drawings, the same or similar elements are denoted by the same reference numerals even though they are depicted in different drawings. In the following description, a detailed description of known functions and configurations incorporated herein will be omitted when it may make the subject matter of the present invention rather unclear. Referring to Referring to A relay node measures the RSS (Received Signal Strength). Each node switches the radio to each channel and measures the RSS. From the RSS measurement, a node can obtain the background noise strength of each channel. To measure channel quality, a radio switches among channels with a switching overhead. The delay in switching channels has been reported as tens of microseconds. This delay in switching is quite long compared to packet transmission time. However, when it comes to the long-term measurement, the delay can be neglected. Also, if a radio interface is available during data transmission, a node can measure the RSS per channel without switching overhead. Each node measures the interference level of multiple channels and keeps the preferable channel lists. The system frame is composed of two periods: control period and operation period. During the control period, a default channel is used to exchange control messages which include node information, such as neighbor information, channel lists and channel assignment results. During the operation period, any channel including the default channel can be used for data transmission according to the result of the channel assignment. This preferable channel lists are collected by a central node (here, the central node would be the node with the Internet connection) during the control period. From the collected channel lists and network topology, a central node assigns channels to each link and broadcasts the channel assignment results. This control period is repeated and the default channel is used at this period. From gathered relay node information, a multi-graph connectivity graph is constructed. A multi-graph is a graph which can have multiple edges between two nodes, as opposed to a simple graph with only one edge between two nodes. We model the multi-hop wireless network after an undirected multi-graph, G={V, E}. A vertex and edge are a node and link in a multi-hop wireless network, respectively. If both nodes assign an available radio to their neighbor nodes, then an edge is created. Therefore, the number of assigned radios to neighbor node determines the number of edges. Here, the radio assignment problem should be resolved. To make channel allocation fair and to ensure connectivity, the max-min allocation method is used. Given the number of radios, Q, and the number of neighbor nodes, N, if Q<N, then select Q neighbor nodes from N nodes and assign Q radios to the selected neighbor nodes. If Q≧N, then N radios are allocated to all nodes and the Q−N radios are allocated to nodes that repetitively have available radios. An example of multi-graph connectivity graph is shown in From the multi-graph connectivity graph, a multi-channel conflict graph G′={V′, E′} can be generated. In a multi-channel conflict graph, a vertex corresponds to an edge in the multi-graph connectivity graph. And an edge exists between interfering links in the multi-graph connectivity graph. An interfering link is defined as follows: If edge e′ shares a node with edge e, e′ is a node sharing interfering edge; or if any node of edge e′ can hear the transmission from edge e, e′ is an overhearing interfering edge. An example of multi-channel conflict graph is shown in By applying the list coloring algorithm in the multi-channel conflict graph, non-overlapping channel allocation results can be obtained. To allocate multiple channels not to conflict, the list coloring algorithm is used. To clarify the list coloring algorithm, the vertex coloring algorithm is previously described. The vertex coloring refers to the problem of assigning different colors to adjacent vertices. The coloring A of a graph G={V, E} is formally defined as function f: V→C such that f(v)≢f(w) if a vertex, v, is adjacent to another vertex, w. And, if the size of the color set, |C|, is the same as k and there exists a list coloring A, then a graph is to be k-colorable. List coloring is a vertex coloring with the constraint of limited colors for each vertex. Given a color list L(v) However, since the list coloring problem is NP-hard, colors can be assigned by heuristic methods. The k-GL (k-Greedy List) algorithm is a known heuristic algorithm. A brief description of the k-GL algorithm is as follows: Initially, the vertex set, V, is sorted by the size of the assigned color list. Then, the vertex, v, with the smallest size of color list selected from V. If the color list size is greater than 0, assign a color, c, to the vertex, v, randomly chosen from L(v). And, for each vertex u ∈ V that is adjacent to the vertex v, the color list set, L(u), is updated by removing the color c. If the size of selected color list, |L(v)|, is 0, then the algorithm fails. Then, a randomly selected color is assigned to a node which is not allocated with colors during the algorithm. The above k-GL algorithm is simple, but it is easy to fail in finding the results since the color list of neighboring nodes cannot be considered with random selection. Also, algorithm failure in the mid-operation causes inefficient channel assignment since the remaining nodes are not assigned. The present invention proposes a new sub-graph list coloring algorithm, named a sub-graph list coloring algorithm, to reduce the number of overlapped colors. For the color i, a sub-graph Gi={V
In case of list coloring failure, we need to allocate channels to minimize the overlapped links. If the k-GL algorithm fails to allocate channels, nodes in set U are allocated with a randomly selected channel in color list in each node. If no node satisfies the condition 2 (|L(v)|>0), the algorithm stops and channels are randomly selected. However, the sub-graph list coloring algorithm proceeds until all sub-graph vertex sets are empty. An example of list coloring algorithms is shown in Using the k-GL algorithm, node B is selected since it has the smallest size of color list. Color Referring to Referenced by
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